MODELS AND ALGORITHMS FOR NETWORK OPTIMIZATION WITH SEGMENT ROUTING

Аннотация

Segment Routing (SR) is a modern paradigm for traffic engineering and network optimization that offers enhanced scalability and flexibility compared to traditional MPLS and IP-based routing. This paper explores models and algorithms for optimizing network performance using SR, focusing on path computation, resource allocation, and traffic engineering strategies. We examine integer linear programming (ILP) formulations, heuristic approaches, and machine learning-based methods to improve the efficiency of SR-based networks. Additionally, we discuss real-world deployment challenges, architectural considerations, and the integration of SR with emerging network technologies. Furthermore, we analyze network resilience techniques, fault tolerance mechanisms, and energy-efficient routing strategies that can enhance the sustainability of SR deployments. We also address optimization in multi-domain environments, cross-layer design approaches, and the role of SR in autonomous networks.